Earticle

초록

영어

Image compression is playing a key role in the development of various multimedia computer services and telecommunication applications. As image needs a huge amount of data to store it, there is pressing need to limit image data volume for transport along communication links. An ideal image compression system must yield good quality compressed images with good compression ratio, while maintaining minimal time cost. The goal of image compression techniques is to remove redundancy present in data in a way that enables image compression technique. There are numerous lossy and lossless image compression techniques. For the still digital image or video, a lossy compression is preferred. Wavelet-based image compression provides substantial improvements in picture quality at higher compression ratios. Contrary to traditional techniques for image compression, neural networks can also be used for data or image compression. In this paper both of these methods for compression of images to obtain better quality.

목차

Abstract
 1. Introduction
 2. Problem Definition
 3. Introduction to dwt and Neural Network
  3.1. Multiple-Level Decomposition
 4. Design and implementation
 5. Simulation results
 6. Conclusion
 References

키워드

저자

• M. Venkata Subbarao [ Dept. of ECE, Tirumala Engineering College ]
• N.Sayedu Khasim [ Dept. of ECE, Tirumala Engineering College ]
• Jagadeesh Thati [ Dept. of ECE, Tirumala Engineering College ]
• M. H. H.Sastry [ Dept. of ECE, Tirumala Engineering College ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605